Enterprise · CPaaS
Currently tracking 14 active AI roles, with 52 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $139k–$277k (avg $211k).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer Machine Learning Engineer to drive innovation and develop cutting-edge ML-based systems for real-time applications, including anomaly detection, recommendation systems, predictive modeling, and agentic AI frameworks. This role involves designing, implementing, and maintaining scalable, low-latency ML solutions in production, building reproducible ML workflows, and implementing monitoring and evaluation frameworks. | ServeAgent | 7 |
| Machine Learning Engineer Machine Learning Engineer responsible for designing, building, and operating cloud-native data and ML infrastructure for real-time intelligence, including data pipelines, feature stores, and ML workflows for training, evaluation, and inference. | Serve |
| 7 |
| Staff Machine Learning Engineer (L4) Staff Machine Learning Engineer to scope, design, and deploy machine learning systems into production, partnering with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services. The role involves understanding customer needs, building scalable data products, and owning end-to-end execution of large-scale ML solutions. | Serve | 7 |
| Principal Machine Learning & Data Engineer This role focuses on building and operating an internal ML and data platform, including cloud-native pipelines, model-serving infrastructure, and developer tooling. It involves architecting scalable feature stores, streaming/batch pipelines, and low-latency model-serving layers on AWS, implementing MLOps best practices, and leading cross-functional engineering efforts. | ServeData | 7 |